🎯 I'm a data-driven professional passionate about turning raw data into customer insights and actionable strategies.
🛒 Specialized in eCommerce, Sales, and Retail, I use data to analyze customer behavior, optimize customer journeys, and support business decision-making.
💬 Strong believer in the power of storytelling through data.

• 🧭 Customer journey analysis & behavior segmentation
• 🧪 A/B testing & conversion optimization
• 📊 Interactive dashboards & business reports
• 🔄 Automating data pipelines with Apache Airflow
• 💡 Delivering insights from large-scale datasets

• Query Languages: SQL, KQL, MQL, JQL
• Programming: Python
• Web Basic Knowledge: HTML, CSS

• Data processing: Apache Spark
• ELT Layer: DBT, DLT
• Orchestration: Apache Airflow, Astronomer Cosmos, Dagster, Kestra, Mage
• Data Ingestion: Airbyte, Fivetran
• Automation & Scraping: Selenium, BeautifulSoup

• Power BI: Power BI Desktop, Power BI Services, Power BI Report Server, Power BI Embed
• Looker Studio
• Apache Superset
• Metabase

• SQL-based: Oracle, SQL Server, PostgreSQL, Presto, Trino, MySQL, SingleStoreDB, Google BigQuery, Redshift
• NoSQL: MongoDB
• Platform: GCP, Supabase, Azure, Snowflakes, Databricks, AWS

• Jira, Confluence, Trello, Notion

• Figma, DBDocs, Draw.io, Miro

• Microsoft Office: Excel, Word, PowerPoint, VBA
• Google Workspace: Google Sheets, Google Docs, Slides, Jamboard
• Web Analytics: GA4 , SmartLook

• VS Code, PyCharm, Jupyter, Cloud9
• Navicat, DBeaver
• Visual Studio

• 📊 I enjoy messy datasets — because cleaning and exploring data is part of the fun!
• 🧃 Tea-fueled mornings lead to better dashboards.
• 🐢 Motto: "Slow is smooth. Smooth is fast."

email: tunguyen150599@gmail.com
linkedin: linkedin.com/in/tunguyenn99
portfolio: github.com/tunguyenn99/data-portfolio